Audits & Reporting
Complete AI Visibility Audit & Services
Know your share of voice inside the machines — then grow it.
Rankings tell you about ten blue links. AI visibility tells you whether ChatGPT, Gemini, Perplexity, and Google's AI Overviews mention, cite, and recommend you — and against whom. This audit measures that 'share of model' and builds the plan to grow it, rather than leaving you guessing based on a slow, hard-to-attribute decline in inbound interest.
The scale of this shift is no longer speculative. Depending on the study, somewhere between a quarter and nearly half of all Google searches now trigger an AI Overview, and that share has moved in one direction — up — for eighteen consecutive months. Zero-click search, where the user's question is answered without a single site visit, is now the default outcome for a majority of US Google searches. None of that means people stopped searching; it means the answer moved from your page into the AI's response, and your brand either got pulled into building that answer or it didn't.
This service goes beyond a one-off score into ongoing capability: closing entity and citation gaps, earning mentions on the sources AI trusts, and structuring your content so it's the passage models actually quote — with a benchmark against named competitors so 'share of model' is a number you can track quarter over quarter, not a one-time vanity metric.
What you get
Outcomes, not activity
Your visibility and sentiment across the major AI engines for the prompts your actual buyers use
A competitor 'share of model' benchmark in your category — who gets cited when you don't
The specific citation, entity, and content gaps holding you back, ranked by fix effort
A clear read on whether your gap is an access problem, an entity problem, or a content-structure problem
An ongoing plan to become the cited answer, not just a periodically-checked score
Deliverables
What's included
AI share-of-voice benchmark
How often you appear vs. named competitors across a defined set of target prompts and engines — sampled consistently so the number is comparable over time.
Citation-source gap analysis
The trusted sources AI pulls from (industry publications, Wikipedia, Reddit, YouTube, forums) where you're currently absent.
Entity & answer-structure fixes
Making your brand and answers legible and quotable to LLMs — the same entity-clarity foundation that underlies Entity SEO, applied specifically to citation eligibility.
Sentiment & accuracy check
Not just whether you're mentioned, but whether the AI's characterisation of your brand is accurate and favourable.
Ongoing visibility program
Optional monthly execution and tracking so the benchmark keeps moving instead of being a one-time snapshot.
How it works
The process
Prompt-set design
Build the specific buyer prompts that matter in your category — not generic 'best X' queries, but the phrasing real prospects actually use.
Multi-engine measurement
Sample answers across Google AI Overviews, ChatGPT, Perplexity, and Gemini; log mentions, citations, and sentiment consistently.
Gap plan
Entity, citation, and content actions ranked by impact, tied to the specific prompts where you're currently losing.
Baseline for tracking
Set the measurement methodology so future checks are directly comparable, not re-invented each time.
Fit
Who this is for
- Brands watching AI answers replace their top-of-funnel clicks without a clear diagnosis of why
- Categories where buyers now 'ask AI' before they Google — B2B software, professional services, high-consideration purchases
- Agencies productising AI-visibility retainers for clients asking about this directly
- Brands that rank well on Google but suspect (correctly, in most audits I run) that they're invisible in AI answers for the same terms
FAQ
Common questions
What is 'share of model'?+
How often and how favourably an AI engine surfaces your brand for the prompts your buyers actually use — the AI-era equivalent of share of voice, and a metric almost nobody was tracking systematically even a year ago.
Which engines do you cover?+
Google AI Overviews, ChatGPT, Perplexity, and Gemini as standard; other engines (Grok, Claude, specific vertical AI tools) on request depending on where your buyers actually are.
Can you run this monthly?+
Yes — it pairs naturally with Monthly AEO Services for ongoing tracking and execution, since AI answers shift often enough that a one-time snapshot decays.
Is tracking AI citations actually reliable?+
It's directional, not exact — these systems aren't fully deterministic and answers vary by session. But sampled consistently against a fixed prompt set and methodology, the trend is genuinely trackable and comparable month over month, which is what matters for a program, not a single number.
How is this different from the Agentic AI Readiness Audit?+
The Readiness Audit checks whether AI systems *can* access and understand you — the technical and structural prerequisite. This audit measures whether they actually *do* cite and recommend you for real prompts, and builds the ongoing plan to improve that outcome specifically.
Related services
Keep exploring
Audits & Reporting
Detailed Agentic AI Readiness Audit Report
Find out exactly why AI does — or doesn't — recommend you.
AI Search & Answer Engines
Monthly AEO Services (Retainer)
AI visibility isn't a project — it's a program.
AI Search & Answer Engines
Answer / Ask Engine Optimization (AEO)
Optimise to be cited, not just ranked.
Try it yourself first
Free tools for this
Audit
SEO Audit & Checker
Comprehensive technical and on-page SEO analysis — metadata, content quality, headings, schema, performance, and AI search signals. Prioritized fixes.
GEO
GEO Citation & Snippet Simulator
Estimate how likely AI engines (ChatGPT, Perplexity, AI Overviews) are to cite your content, plus a preview of how they might summarize it.
Entity SEO
Brand Entity Consistency Scanner
Check how your brand name and description appear across platforms. Inconsistent signals confuse Google's entity resolution and weaken your Knowledge Graph.
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